package net.bwie.realtime.jtp.dws.log.job;

import org.apache.flink.configuration.Configuration;
import org.apache.flink.table.api.EnvironmentSettings;
import org.apache.flink.table.api.Table;
import org.apache.flink.table.api.TableEnvironment;
import org.apache.flink.table.api.TableResult;

public class JtpTrafficAppStartMinuteWindowDwsJob {
    public static void main(String[] args) {
        //1. 表执行环境
        TableEnvironment tableEnv = getTableEnv();

        //2. 输入表，映射到kafka队列
        createInputTable(tableEnv);

        //3. 数据处理-select
        handle(tableEnv);


        //4. 输出表，映射到CLICKHOUSE表
        createOutputTable(tableEnv);


        //5. 保存数据
       // saveToClickHouse(tableEnv) ;

        //6. 关联维表
        joinDIM(tableEnv);



    }

    private static void joinDIM(TableEnvironment tableEnv) {
       tableEnv.executeSql(
                "CREATE TABLE `ads_info_mysql_source_dim`\n" +
                        "(\n" +
                        "  id               INT COMMENT '主键ID',\n" +
                        "  name             STRING COMMENT '广告名称',\n" +
                        "  content          STRING COMMENT '广告内容（图片URL/视频URL/H5代码）',\n" +
                        "  type             STRING COMMENT '广告类型（IMAGE, VIDEO, HTML5）',\n" +
                        "  start_time       TIMESTAMP COMMENT '展示开始时间',\n" +
                        "  end_time         TIMESTAMP COMMENT '展示结束时间',\n" +
                        "  is_active        INT COMMENT '是否启用',\n" +
                        "  target_condition STRING COMMENT '定向条件（JSON格式）',\n" +
                        "  created_at       TIMESTAMP COMMENT '数据插入时间',\n" +
                        "  updated_at       TIMESTAMP COMMENT '数据更新时间',\n" +
                        "  PRIMARY KEY (id) NOT ENFORCED\n" +
                        ") WITH (\n" +
                        "  'connector' = 'jdbc',\n" +
                        "  'url' = 'jdbc:mysql://node103:3306/jtp_ads',\n" +
                        "  'table-name' = 'ads_info',\n" +
                        "  'lookup.cache.max-rows' = '10',\n" +
                        "  'lookup.cache.ttl' = '1 hour',\n" +
                        "  'username' = 'root',\n" +
                        "  'password' = '123456',\n" +
                        "  'driver' = 'com.mysql.cj.jdbc.Driver'\n" +
                        ")");



        tableEnv.sqlQuery("SELECT\n" +
                "    t1.window_start_time\n" +
                "    , t1.window_end_time\n" +
                "    , t2.name AS open_ad_name\n" +
                "    , t1.open_ad_count\n" +
                "    , t1.open_ad_ms\n" +
                "    , t1.open_ad_skip_ms\n" +
                "    , t1.ts\n" +
                "FROM start_ad_report_table t1\n" +
                "    LEFT JOIN ads_info_mysql_source_dim FOR SYSTEM_TIME AS OF t1.proc_time AS t2\n" +
                "        ON t1.open_ad_id = t2.id").execute().print();



    }

    private static void saveToClickHouse(TableEnvironment tableEnv) {
        tableEnv.executeSql("INSERT INTO dws_traffic_app_start_window_report_clickhouse_sink\n" +
                "SELECT\n" +
                "    DATE_FORMAT(window_start_time, 'yyyy-MM-dd HH:mm:ss') AS window_start_time\n" +
                "    , DATE_FORMAT(window_end_time, 'yyyy-MM-dd HH:mm:ss') AS window_end_time\n" +
                "    , entry\n" +
                "    , entry_count\n" +
                "    , loading_time\n" +
                "    , ts\n" +
                "FROM start_report_table");

        tableEnv.executeSql("INSERT INTO dws_traffic_app_start_ad_window_report_clickhouse_sink\n" +
                "SELECT\n" +
                "    DATE_FORMAT(window_start_time, 'yyyy-MM-dd HH:mm:ss') AS window_start_time\n" +
                "     , DATE_FORMAT(window_end_time, 'yyyy-MM-dd HH:mm:ss') AS window_end_time\n" +
                "     , open_ad_id\n" +
                "     , open_ad_count\n" +
                "     , open_ad_ms\n" +
                "     , open_ad_skip_ms\n" +
                "     , ts\n" +
                "FROM start_ad_report_table");
    }

    private static void createOutputTable(TableEnvironment tableEnv) {
        //在clickhouse创建启动类型报告表
        tableEnv.executeSql(
                "CREATE TABLE dws_traffic_app_start_window_report_clickhouse_sink (\n" +
                "  `window_start_time` STRING COMMENT '窗口开始日期时间',\n" +
                "  `window_end_time` STRING COMMENT '窗口结束日期时间',\n" +
                "  `entry` STRING COMMENT '启动app方式',\n" +
                "  `entry_count` BIGINT COMMENT '启动app方式次数',\n" +
                "  `loading_time` BIGINT COMMENT '启动app方式次数',\n" +
                "  `ts` BIGINT COMMENT '启动app加载时间'\n" +
                ") WITH (\n" +
                "  'connector' = 'clickhouse',\n" +
                "  'url' = 'jdbc:clickhouse://node103:8123/jtp_log_report',\n" +
                "  'table' = 'dws_traffic_app_start_window_report',\n" +
                "  'username' = 'default',\n" +
                "  'password' = '',\n" +
                "  'format' = 'json'\n" +
                ")");






        //在clickhouse创建APP广告统计表
        tableEnv.executeSql(
                "CREATE TABLE dws_traffic_app_start_ad_window_report_clickhouse_sink (\n" +
                "  `window_start_time` STRING COMMENT '窗口开始日期时间',\n" +
                "  `window_end_time` STRING COMMENT '窗口结束日期时间',\n" +
                "  `open_ad_id` STRING COMMENT '启动app方式',\n" +
                "  `open_ad_count` BIGINT COMMENT '广告展示次数',\n" +
                "  `open_ad_ms` BIGINT COMMENT '广告总共播放时间',\n" +
                "  `open_ad_skip_ms` BIGINT COMMENT '用户跳过广告时间',\n" +
                "  `ts` BIGINT COMMENT '数据计算时间戳'\n" +
                ") WITH (\n" +
                "  'connector' = 'clickhouse',\n" +
                "  'url' = 'jdbc:clickhouse://node103:8123/jtp_log_report',\n" +
                "  'table' = 'dws_traffic_app_start_ad_window_report',\n" +
                "  'username' = 'default',\n" +
                "  'password' = '',\n" +
                "  'format' = 'json'\n" +
                ")");


    }

    private static void handle(TableEnvironment tableEnv) {
        //提取字段
        Table table = tableEnv.sqlQuery("select " +
                " `start`['entry'] as entry," +
                " CAST(`start`['loading_time'] AS BIGINT) AS loading_time , " +
                " CAST(`start`['open_ad_id']  AS INT) as open_ad_id ," +
                " CAST(`start`['open_ad_ms'] as bigint) as open_ad_ms , " +
                " CAST(`start`['open_ad_skip_ms'] as bigint) as open_ad_skip_ms , " +
                " row_time" +
                " from dwd_traffic_start_log_kafka_source" +
                " where `start`['entry'] is not null");
        //创建临时视图
        tableEnv.createTemporaryView("dwd_traffic_start_log_kafka_source2", table);
        // 创建启动类型报告表
        Table start_report = tableEnv.sqlQuery(
                "SELECT\n" +
                "    window_start AS window_start_time\n" +
                "    , window_end AS window_end_time\n" +
                "    , entry\n" +
                "    , count(entry) AS entry_count\n" +
                "    , sum(loading_time) AS loading_time\n" +
                "    , UNIX_TIMESTAMP() * 1000 AS ts\n" +
                " FROM TABLE( TUMBLE(TABLE dwd_traffic_start_log_kafka_source2 , \n" +
                        "    DESCRIPTOR(row_time),INTERVAL '1' MINUTES)) t1 \n" +
                        "    GROUP BY \n" +
                        "    window_start,window_end,entry");
        tableEnv.createTemporaryView("start_report_table", start_report);


        // 创建APP广告统计表
        Table start_ad = tableEnv.sqlQuery(
                "SELECT\n" +
                "    TUMBLE_START(row_time, INTERVAL '1' MINUTES) AS window_start_time\n" +
                "     , TUMBLE_END(row_time, INTERVAL '1' MINUTES) AS window_end_time\n" +
                "     , open_ad_id\n" +
                "     , count(open_ad_id) AS open_ad_count\n" +
                "     , sum(open_ad_ms) AS open_ad_ms\n" +
                "     , sum(open_ad_skip_ms) AS open_ad_skip_ms\n" +
                "     , UNIX_TIMESTAMP() * 1000 AS ts\n" +
                "     , PROCTIME() as proc_time \n" +
                "FROM dwd_traffic_start_log_kafka_source2\n" +
                "GROUP BY\n" +
                "    TUMBLE(row_time, INTERVAL '1' MINUTES ),\n" +
                "    open_ad_id");
        tableEnv.createTemporaryView("start_ad_report_table", start_ad);

    }

    private static void createInputTable(TableEnvironment tableEnv) {
         tableEnv.executeSql("create table dwd_traffic_start_log_kafka_source(" +
                "`common` MAP<STRING,STRING> COMMENT '公共信息维度表' ," +
                "`start` MAP<STRING,STRING> COMMENT '启动信息' ," +
                "`ts` BIGINT ," +
                "row_time AS TO_TIMESTAMP(FROM_UNIXTIME(ts /1000,'yyyy-MM-dd HH:mm:ss.SSS')) ," +
                "WATERMARK FOR row_time AS row_time - INTERVAL'0' MINUTE" +
                ") WITH (" +
                "  'connector' = 'kafka',\n" +
                "  'topic' = 'dwd_traffic-start-log',\n" +
                "  'properties.bootstrap.servers' = 'node101:9092,node102:9092,node103:9092',\n" +
                "  'properties.group.id' = 'gid_dws_log_app_start',\n" +
                "  'scan.startup.mode' = 'earliest-offset',\n" +
                "  'format' = 'json',\n" +
                "  'json.fail-on-missing-field' = 'false',\n" +
                "  'json.ignore-parse-errors' = 'true')");

    }

    private static TableEnvironment getTableEnv() {
        EnvironmentSettings build = EnvironmentSettings.newInstance()
                .inStreamingMode()
                .useBlinkPlanner()
                .build();
        TableEnvironment tableEnv = TableEnvironment.create(build);
        Configuration configuration = tableEnv.getConfig().getConfiguration();
        configuration.setString("table.local-time-zone", "Asia/Shanghai");
        configuration.setString("table.exec.resource.default-parallelism", "1");
        configuration.setString("table.exec.state.ttl", "5 s");


        return tableEnv;
    }
}
